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Faculty of Information and Communication Technology

Prof. Olgierd Unold, DSc, PhD, Eng

E-mail: olgierd.unold@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Computer Engineering

Olgierd Unoldul. Z. Janiszewskiego 11/17, 50-372 Wrocław
building C-3, room 324
phone +48 71 320 2279

Office hours

  • Tuesday 11.00-13.00
  • Thursday 11.00-13.00

Research fields

  • Machine learning (grammatical inference); computational intelligence (evolutionary algorithms, learning classifier systems, fuzzy rule systems); bioinformatics; DNA Computing; natural language processing.

Recent papers

2017

  • Ptak R., Żygadło B., Unold O., Projection-based text line segmentation with a variable threshold. International Journal of Applied Mathematics and Computer Science. 2017, vol. 27, nr 1, 195-206.

2016

  • Unold O., Tarnawski R., Cultural Ant Colony Optimization on GPUs for Travelling Salesman Problem. In: Pardalos P., Conca P., Giuffrida G., Nicosia G. (eds) Machine Learning, Optimization and Big Data. MOD 2016. Lecture Notes in Computer Science. 2016, vol. 10122. Springer, Cham, 317-329.
  • Wieczorek W., Unold O., Use of a novel grammatical inference approach in classification of amyloidogenic hexapeptides. Computational and Mathematical Methods in Medicine. 2016, vol. 2016,1-8.

2015

  • Unold O., Tagowski T., A Parallel Consensus Clustering Algorithm. In: Pardalos P., Pavone M., Farinella G., Cutello V. (eds) Machine Learning, Optimization, and Big Data. Lecture Notes in Computer Science. 2015, vol. 9432. Springer, Cham, 318-324.

2014

  • Walkowicz E., Unold O., Maciejewski H., Skrobanek P., The effect of selected factors on the length of gestation period in Silesian mares. Animal Science Papers and Reports. 2014, vol. 32, nr 1, 55-64.

2013

  • Stanisławski J., Kotulska M., Unold O., Machine learning methods are compatible with 3D profile classification of amylogenic hexapeptides, BMC Bioinformatics. 2013, vol. 14 (21), 1-19.
  • Kotulska M., Unold O., On the amyloid datasets used for training PAFIG - how (not) to extend the experimental dataset of hexapeptides. BMC Bioinformatics. 2013, vol. 14, [art.] 351, 1-8.

Papers in DONA database


Selected publications
1
Article
2023
Wojciech Dobrowolski, Maciej Nikodem, Olgierd Unold,
Software failure log analysis for engineers - review. Electronics. 2023, vol. 12, nr 10, art. 2260, s. 1-21. ISSN: 2079-9292
Resources:DOIURLSFXImpact FactorMaster Journal ListMinistry of Science and Higher Education Journal ListOpen Access
2
Article
2023
Łukasz Śmierzchała, Norbert Kozłowski, Olgierd Unold,
Anticipatory classifier system with episode-based experience replay. IEEE Access. 2023, vol. 11, s. 41190-41204. ISSN: 2169-3536
Resources:DOIURLSFXImpact FactorMaster Journal ListMinistry of Science and Higher Education Journal ListOpen Access
3
Monograph chapter
2022
Dawid Siuda, Olgierd Unold,
Zastosowanie filtrów morfologicznych w redukcji zakłóceń w obrazach cyfrowych. W: Stowarzyszenie Elektryków Polskich na Politechnice Wrocławskiej 2022 : trendy i rozwiązania technologiczne w elektrotechnice / red. Remigiusz Mydlikowski. Wrocław : Oficyna Wydawnicza Politechniki Wrocławskiej, 2022. s. 159-171. ISBN: 978-83-7493-226-4
4
Proceeding paper
2022
Wojciech Dobrowolski, Maciej Nikodem, Marek Zawistowski, Olgierd Unold,
Improved software reliability through failure diagnosis based on clues from test and production logs. W: New Advances in Dependability of Networks and Systems : proceedings of the Seventeenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 27 – July 1, 2022, Wrocław, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2022. s. 42-49. ISBN: 978-3-031-06745-7; 978-3-031-06746-4
Resources:DOIURLSFX
5
Proceeding paper
2022
Olgierd Unold, Norbert Kozłowski, Łukasz Śmierzchała,
Preliminary tests of an anticipatory classifier system with experience replay. W: GECCO’22 Companion : Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, July 09-13, 2022 Boston, Massachusetts / ed. Jonathan E. Fieldsend. New York, NY : ACM, cop. 2022. s. 2095-2103. ISBN: 978-1-4503-9268-6
Resources:DOIURLOpen Access
6
Article
2022
Norbert Kozłowski, Olgierd Unold,
Internalizing knowledge for Anticipatory Classifier Systems in discretized real-valued environments. IEEE Access. 2022, vol. 10, s. 33816-33828. ISSN: 2169-3536
Resources:DOIURLSFXImpact FactorMaster Journal ListMinistry of Science and Higher Education Journal ListOpen Access
7
Proceeding paper
2021
Wojciech Wieczorek, Łukasz Strąk, Arkadiusz Nowakowski, Olgierd Unold,
Exact searching for the smallest deterministic automaton. W: Computational Science - ICCS 2021 : 21st International Conference Krakow, Poland, June 16-18, 2021 : proceedings. Pt. 3 / eds. Maciej Paszynski [i in.]. Cham : Springer, cop. 2021. s. 50-63. ISBN: 978-3-030-77966-5; 978-3-030-77967-2
Resources:DOIURLSFX
8
Article
2021
Norbert Kozłowski, Olgierd Unold,
Anticipatory classifier system with average reward criterion in discretized multi-step environments. Applied Sciences. 2021, vol. 16, nr 3, art. 1098, s. 1-16. ISSN: 2076-3417
Resources:DOIURLSFXImpact FactorMaster Journal ListMinistry of Science and Higher Education Journal ListOpen Access
9
Article
2021
Mateusz Gabor, Wojciech Wieczorek, Olgierd Unold,
Split-based algorithm for weighted context-free grammar induction. Applied Sciences. 2021, vol. 11, nr 3, art. 1030, s. 1-13. ISSN: 2076-3417
Resources:DOISFXImpact FactorMaster Journal ListMinistry of Science and Higher Education Journal ListOpen Access
10
Proceeding paper
2020
Łukasz Culer, Olgierd Unold,
Visualization of membership distribution in strings using heat maps. W: Artificial intelligence and soft computing : 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020 : proceedings. Pt. 1 / eds. Leszek Rutkowski [i in.]. Cham : Springer, cop. 2020. s. 503-513. ISBN: 978-3-030-61400-3; 978-3-030-61401-0
Resources:DOISFX

All publications

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